Matrix analysis
Computing the eigenvalues and eigenvectors of symmetric arrowhead matrices
Journal of Computational Physics
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Proceedings of the ninth annual ACM-SIAM symposium on Discrete algorithms
Matrix analysis and applied linear algebra
Matrix analysis and applied linear algebra
Fundamentals of wireless communication
Fundamentals of wireless communication
Reduced-complexity transmit/receive-diversity systems
IEEE Transactions on Signal Processing
Grassmannian beamforming for multiple-input multiple-output wireless systems
IEEE Transactions on Information Theory
EURASIP Journal on Advances in Signal Processing
Validating sensors in the field via spectral clustering based on their measurement data
MILCOM'09 Proceedings of the 28th IEEE conference on Military communications
A spectral clustering approach to validating sensors via their peers in distributed sensor networks
International Journal of Sensor Networks
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This paper considers communications and network systems whose properties are characterized by the gaps of the leading eigenvalues of AHA for a matrix A. It is shown that a sufficient and necessary condition for a large eigen-gap is that A is a "hub" matrix in the sense that it has dominant columns. Some applications of this hub theory in multiple-input and multiple-output (MIMO) wireless systems are presented.